Data extraction is the process of extracting data from various different data sources to transform the data and to gain meaning full insights from the data. In addition, data extraction software helps organizations to extract data from various different structured and unstructured data sources and stores it in data warehouse. Furthermore, the software includes two types of processes such as ETL (extract, transform, and load) and ELT (extract, load, and transform) for extracting, restoring, and managing large data sets. In addition, data extraction software has reshaped various different industries such as BFSI, manufacturing, retail, and others by enabling digitalization across these industries. Moreover, rise in need to manage large quantity of data and surge in adoption of big data & business analytics across various industries drive the growth of the market.
Surge in adoption of big data and business analytics software by multiple organizations and need for dedicated storage system for growing volume of data across the globe drive the growth of the market. In addition, numerous benefits provided by data extraction software fuels the market growth. Moreover, growing concerns regarding the quality of data and complexity in extracting data from various sources hamper the growth of the market. Furthermore, growth in adoption of AI in data extraction and emerging trends of adopting virtual data warehousing are anticipated to provide lucrative opportunities for the market expansion during the forecast period.
The global data extraction market is segmented on the basis of component, data type, deployment model, enterprise size, industry vertical, and region. In terms of component, the market is fragmented into solution and service. The data type covered in the study include unstructured and semi-structured & structured. By deployment model, it is segregated into on-premise and cloud. As per enterprise size, it is divided into large enterprise and small & medium enterprises. In terms of industry vertical, it is fragmented into BFSI, manufacturing, healthcare, government, energy & utilities, transportation, retail & e-commerce, IT & telecom, education and others. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players profiled in the data extraction market analysis are Alteryx, Inc., Altair Engineering Inc., Fair Isaac Corporation, IBM Corporation, Microsoft Corporation, Matillion Ltd., Oracle Corporation, SAS Institute, Inc., SAP SE, and Teradata Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.


  • The study provides an in-depth analysis of the global data extraction market forecast along with the current & future trends to elucidate the imminent investment pockets.
  • Information about the key drivers, restraints, and opportunities and their impact analysis on the global data extraction market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the market from 2020 to 2027 is provided to determine the market potential.

By Component

  • Solution
  • Service

By Data Type

  • Unstructured
  • Semi-Structured & Structured

By Deployment Model

  • On-Premise
  • Cloud

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Vertical

  • BFSI
  • Manufacturing
  • Healthcare
  • Government
  • Energy & Utilities
  • Transportation
  • Retail & E-commerce
  • IT & Telecom
  • Education
  • Others

By Region

  • North America
  • ·U.S.
  • ·Canada
  • Europe
  • ·UK
  • ·Germany
  • ·France
  • ·Italy
  • ·Spain
  • ·Russia
  • ·Rest of Europe
  • Asia-Pacific
  • ·China
  • ·India
  • ·Japan
  • ·Australia
  • ·Singapore
  • ·South Korea
  • ·Rest of Asia-Pacific
  • ·Latin America
  • ·Middle East
  • ·Africa

Key Market Players

  • Alteryx, Inc.
  • Altair Engineering Inc.
  • Fair Isaac Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Matillion Ltd.
  • Oracle Corporation
  • SAS Institute, Inc.
  • SAP SE
  • Teradata Corporation